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We study a planner's provision of information to manage workplace occupancywhen strategic workers (agents) face risk of infectious disease transmission.The planner implements an information mechanism to signal information about theunderlying risk of infection at the workplace. Agents update their belief overthe risk parameter using this information and choose to work in-person orremotely. We address the design of the optimal signaling mechanism that bestaligns the workplace occupancy with the planner's preference (i.e., maintainingsafe capacity limits and operational efficiency at workplace). For variousforms of planner preferences, we show numerical and analytical proof thatinterval-based information mechanisms are optimal. These mechanisms partitionthe continuous domain of the risk parameter into disjoint intervals andprovision information based on interval-specific probability distributions overa finite set of signals. When the planner seeks to achieve an occupancy thatlies in one of finitely many pre-specified ranges independent of the underlyingrisk, we provide an optimal mechanism that uses at most two intervals. On theother hand, when the preference on the occupancy is risk-dependent, we showthat an approximately optimal interval-based mechanism can be computedefficiently. We bound the approximation loss for preferences that are expressedthrough a Lipschitz continuous function of both occupancy and risk parameter.We provide examples that demonstrate the improvement of proposed signalingmechanisms relative to the common benchmarks in information provision. Ourfindings suggest that information provision over the risk of diseasetransmission is an effective intervention for maintaining desirable occupancylevels at the workplace.

Information Design for Hybrid Work under Infectious Disease Transmission Risk